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Click Through Rate Prediction
Click Through Rate Prediction On Kkbox
Click Through Rate Prediction On Kkbox
Metrics
AUC
Results
Performance results of various models on this benchmark
Columns
Model Name
AUC
Paper Title
Repository
AutoInt+
0.8534
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
xDeepFM
0.8535
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
DCNv3
0.8557
DCNv3: Towards Next Generation Deep Cross Network for CTR Prediction
-
DeepFM
0.8531
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
DeepIM
0.8537
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions
DCNv2
0.8531
DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems
0 of 6 row(s) selected.
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